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stylegan2-ada
StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation (by RoyWheels)
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Have a look at my [GitHub page](https://github.com/seawee1/Did-Somebody-Say-Corgi) for more information. You'll also find all the links there, i.e. one to the dataset (eventhough I'm not sure if anybody would actually need such a dataset :D) and the model checkpoints.
Sure! https://github.com/PDillis/stylegan2-fun#random-interpolation The code is doing a random interpolation, so if you want to go between specific seeds you can see further below. I'm currently porting everything to the ADA Pytorch version, and my current tests note it's far more efficient memory-wise. In the meantime, you can use that one for the StyleGAN1 and 2 models, though the ADA ones will need a bit of modification.
Have a look at the train.py of the StyleGAN2-ADA RoyWheels fork. I used the 'v100_16gb' configuration which has a batch size of 4.
The scrapper I used was InstaTouch! :)